This repository contains the main files used in the repositories analysis section of the paper "How Scientists Develop Scientific Software" (DOI: 10.1109/SANER.2018.8330263). If you want to reproduce our data, please read on the steps.
The survey material is available at the Survey folder.
- The survey responses are available here. The pilot is available here.
- To create the likert figures, you just need to run
Rscript likert.R - To create the histogram figure, you just need to run
Rscript worktime.R
- Clone our repository using:
git clone https://github.com/fronchetti/SANER-2017. - To reproduce the data collection process:
python data_collector.py. This script will create folders and files related to all the projects that are inside responses.csv, and you may need to allow it in your system. The collected data will be available in the Dataset folder.
If you want to jump this step, just use our compacted version of the Dataset folder: https://github.com/fronchetti/SANER-2018/tree/master/Dataset
-
The summary.csv file contains general information about the projects. If you want to recreated this file use:
python data_information.py. Step required to generate boxplots. -
The quarters.csv file contains the frequency of commits in all projects, grouped by quarters. If you want to recreated this file use:
python data_timeseries.py. Step required to generate time series. -
If you want to generate our charts, use summary.R. Ready versions of summary.csv and quarters.csv are available in this repository.
| Software | Version |
|---|---|
| Linux | Ubuntu Gnome (16.04) |
| Python | 2.7.12 |
| RStudio | 1.1.383 |
Troubles? Feel free to get in touch:
Luiz Felipe Fronchetti - fronchetti at usp br
Gustavo Pinto - gpinto at ufpa br